کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6692372 501914 2013 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Heat recovery with heat pumps in non-energy intensive industry: A detailed bottom-up model analysis in the French food & drink industry
ترجمه فارسی عنوان
بازیابی گرما با پمپ های حرارتی در صنایع غیر انرژی فشرده: تجزیه و تحلیل دقیق از پایین به بالا در صنایع غذایی و نوشیدنی فرانسوی
کلمات کلیدی
صنعت غیرمستقیم انرژی، بازیابی حرارت، پمپ حرارتی، ذخیره انرژی، مدل سازی پایین صنایع غذایی و نوشیدنی،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی
Rising energy prices and environmental impacts inevitably encourage industrials to get involved in promoting energy efficiency and emissions reductions. To achieve this goal, we have developed the first detailed bottom-up energy model for Non-Energy Intensive industry (NEI) to study its global energy efficiency and the potential for CO2 emissions reduction at a 4-digit level of NACE classification. The latter, which is generally neglected in energy analyses, is expected to play an important role in reducing industry energy intensity in the long term due to its economic and energy significance and relatively high growth rate. In this paper, the modelling of NEI is done by energy end-use owing to the unsuitability of the end-product/process approach used in the Energy Intensive industry modelling. As an example, we analysed the impact of heat recovery with heat pumps (HP) on industrial processes up to 2020 on energy savings and CO2 emissions reductions in the French food & drink industry (F&D), the biggest NEI sector. The results showed HP could be an excellent and very promising energy recovery technology. For further detailed analysis, the depiction of HP investment cost payments is given per temperature range for each F&D subsector. This model constitutes a useful decision-making tool for assessing potential energy savings from investing in efficient technologies at the highest level of disaggregation, as well as a better subsectoral screening.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Applied Energy - Volume 111, November 2013, Pages 489-504
نویسندگان
, , ,